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英文老師面試自我介紹

發布時間:2022-04-17

英文老師面試自我介紹

  面試之前,大家要對自己的將要說的內容熟悉,里面包含的內容,自我介紹的內容,下面第一范文網小編為你帶來英文老師面試自我介紹的內容,希望你們喜歡。

關于英文老師面試自我介紹篇一

  My name is .i woulld like to apply for this job of english teacher for children.

  My plan for the furture is that i would like to stay with children and share the moments in their lives and provide them with helpful advice. making friends with them and letting them feel you are the one they can talk and trust.Plus i like english very much.with this idea,i want to combine my love for children with my ability of english together,so i can work in a pleasant environment doing the great things i enjoy doing.

  I consider myself with rich potential of qualitying out as a good english teacher.I have a heart for children,a loving and caring heart.And i would certainly place it upon my students,being their close friend and sister.while with my creative and relaxing english teaching method,students would learn english through interacting with me or the others instead of being told what to say.

  I am also very open-minded and easy-going,which will make myself a popular figure everywhere.and of course i am very much the type of the girl next door.always willing to take in suggestions and create a fun classroom for our next generation.

  I believe i've said quite enough of myself. I hope you now know more about me than just now. I would certainly cherish this job and get along very well with all people out here.I thank you very much again for giving me this opportunity to talk with you.

  I look forward to hearing good news from you soon.

  Thank you !

關于英文老師面試自我介紹篇二

  General Introduction

  Good morning my name is it is really a great honor to have this opportunity for a interview i would like to answer whatever you may raise and i hope i can make a good performance today .

  I am a third year master major in automation at Shanghai Jiao Tong University P. R. China. With tremendous interest in Industrial Engineering I am writing to apply for acceptance into your Ph.D. graduate program.

  Education background

  In 1995 I entered the Nanjing University of Science &Technology (NUST) -- widely considered one of the China’s best engineering schools. During the following undergraduate study my academic records kept distinguished among the whole department. I was granted First Class Prize every semester and my overall GPA(89.5/100) ranked No.1 among 113 students. In 1999 I got the privilege to enter the graduate program waived of the admission test. I selected the Shanghai Jiao Tong University to continue my study for its best reputation on Combinatorial Optimization and Network Scheduling where my research interest lies.

  At the period of my graduate study my overall GPA(3.77/4.0) ranked top 5% in the department. In the second semester I became teacher assistant that is given to talented and matured students only. This year I won the Acer Scholarship as the one and only candidate in my department which is the ultimate accolade for distinguished students endowed by my university. Presently I am preparing my graduation thesis and trying for the honor of Excellent Graduation Thesis.

  Research experience and academic activity

  When a sophomore I joined the Association of AI Enthusiast and began to narrow down my interest for my future research. In 1997 I participated in simulation tool development for the scheduling system in Prof. Wang’s lab. With the tool of OpenGL and Matlab I designed a simulation program for transportation scheduling system. It is now widely used by different research groups in NUST. In 1998 I assumed and fulfilled a sewage analysis &dispose project for Nanjing sewage treatment plant. This was my first practice to convert a laboratory idea to a commercial product.

  In 1999 I joined the distinguished Professor Yu-Geng Xis research group aiming at Network flow problem solving and Heuristic algorithm research. Soon I was engaged in the FuDan Gene Database Design. My duty was to pick up the useful information among different kinds of gene matching format. Through the comparison and analysis for many heuristic algorithms I introduced an improved evolutionary algorithm -- Multi-population Genetic Algorithm. By dividing a whole population into several sub-populations this improved algorithm can effectively prevent GA from local convergence and promote various evolutionary orientations. It proved more efficiently than SGA in experiments too. In the second semester I joined the workshop-scheduling research in Shanghai Heavy Duty Tyre plant. The scheduling was designed for the rubber-making process that covered not only discrete but also continuous circumstances. To make a balance point between optimization quality and time cost I proposed a Dynamic layered Scheduling method based on hybrid Petri Nets. The practical application showed that the average makespan was shortened by a large scale. I also publicized two papers in core journals with this idea. Recently I am doing research in the Composite Predict of the Electrical Power system assisted with the technology of Data Mining for Bao Steel. I try to combine the Decision Tree with Receding Optimization to provide a new solution for the Composite Predictive Problem. This project is now under construction.

  Besides In July 20xx I got the opportunity to give a lecture in English in Asia Control Conference (ASCC) which is one of the top-level conferences among the world in the area of control and automation. In my senior year I met Prof. Xiao-Song Lin a visiting professor of mathematics from University of California-Riverside I learned graph theory from him for my network research. These experiences all rapidly expanded my knowledge of English and the understanding of western culture.

  I hope to study in depth

  In retrospect I find myself standing on a solid basis in both theory and experience which has prepared me for the Ph.D. program. My future research interests include: Network Scheduling Problem Heuristic Algorithm research (especially in GA and Neural network) Supply chain network research Hybrid system performance analysis with Petri nets and Data Mining.

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